# mesh

> mesh — j3nnaai-mesh. Use this tool when you need to establish secure, decentralized networks for autonomous units to discover, authenticate, and coordinate with each other. It solves problems of central oversight and security in peer-to-peer infrastructure, enabling self-verifying networks with zero-trust cryptography. Ideal for use cases requiring decentralized, autonomous, and secure communication between services or agents.

Canonical page: https://skillsregistry.net/skills/j3nnaai-mesh  
JSON: https://api.skillsregistry.net/v1/skills/j3nnaai-mesh

## Description

A decentralized P2P infrastructure for any service or agent to discover, authenticate, and coordinate. Built in Go with zero-trust cryptography, mesh enables autonomous units to form secure, self-verifying networks without central oversight.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/J3nnaAI/mesh)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "j3nnaai-mesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/j3nnaai-mesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/j3nnaai-mesh/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt